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A General Topological Symmetry Index for Critical Orbits In Neural Network Loss Landscapes
A systematic understanding of the global structure of neural-network loss landscapes remains challenging due to their high dimensionality. Symmetries arising from network architectures and learning objectives provide a way to investigate aspects of this structure. Although a growing number of studie
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